DOIAbstract
AbstractWe prove a global error bound result on the quadratic perturbation of linear programs. The error bound is stated in terms of function values
AbstractWe prove a global error bound result on the quadratic perturbation of linear programs. The error bound is stated in terms of function values
AbstractA perturbation result concerning the upper and lower bounds on relative errors of solutions ...
We propose a unifying general framework of quantitative primal and dual sufficient and necessary err...
We present a numerical method for the minimization of objectives that are augmented with linear ineq...
Cataloged from PDF version of article.We prove a global error bound result on the quadratic perturba...
AbstractWe prove a global error bound result on the quadratic perturbation of linear programs. The e...
Our aim in the current article is to extend the developments in Kruger et al. (SIAM J Optim 20(6):32...
AbstractIn this paper we develop bounds for the displacement in the solution set of a system of pert...
We use quadratic penalty functions along with some recent ideas from linear l1 estimation to arrive ...
This paper takes a fresh look at the application of quadratic penalty functions to linear programmin...
The global convergence properties of a class of penalty methods for nonlinear pro-gramming are analy...
Numerous efforts in the literature are devoted to studying error bounds in optimization problems. Th...
Error bounds for vector-linear programming (documentation) Metric regularity and constraint quali\u...
Cover title.Includes bibliographical references (p. 29-32).Research partially supported by the U.S. ...
A perturbation result concerning the upper and lower bounds on relative errors of solutions to linea...
In this paper we present sufficient conditions for global optimality of non-convex quadratic program...
AbstractA perturbation result concerning the upper and lower bounds on relative errors of solutions ...
We propose a unifying general framework of quantitative primal and dual sufficient and necessary err...
We present a numerical method for the minimization of objectives that are augmented with linear ineq...
Cataloged from PDF version of article.We prove a global error bound result on the quadratic perturba...
AbstractWe prove a global error bound result on the quadratic perturbation of linear programs. The e...
Our aim in the current article is to extend the developments in Kruger et al. (SIAM J Optim 20(6):32...
AbstractIn this paper we develop bounds for the displacement in the solution set of a system of pert...
We use quadratic penalty functions along with some recent ideas from linear l1 estimation to arrive ...
This paper takes a fresh look at the application of quadratic penalty functions to linear programmin...
The global convergence properties of a class of penalty methods for nonlinear pro-gramming are analy...
Numerous efforts in the literature are devoted to studying error bounds in optimization problems. Th...
Error bounds for vector-linear programming (documentation) Metric regularity and constraint quali\u...
Cover title.Includes bibliographical references (p. 29-32).Research partially supported by the U.S. ...
A perturbation result concerning the upper and lower bounds on relative errors of solutions to linea...
In this paper we present sufficient conditions for global optimality of non-convex quadratic program...
AbstractA perturbation result concerning the upper and lower bounds on relative errors of solutions ...
We propose a unifying general framework of quantitative primal and dual sufficient and necessary err...
We present a numerical method for the minimization of objectives that are augmented with linear ineq...
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